Machine Learning / Decision Tree Learning with Elasticsearch

Elastic Stack Elasticsearch
1

Hi All,

Has anyone tried putting advanced decision tree analysis on top of
Elasticsearch?

I've seen others users Naive Bayes
https://blog.wtf.sg/2013/12/29/naive-bayes-categorisation-with-some-help-from-elasticsearch/
on top of Elasticsearch, which is really great, but I want to try to move
past that with some of the more advanced techniques. The standard I know
that Solr has something called decision trees, but I don't think they are
the same as what is normally referred to as decision trees in the machine
learning literature (here's the wiki on decision trees
http://en.wikipedia.org/wiki/Decision_tree_learning).

Any guidance on how to implement advanced machine learning techniques on
Elasticsearch would be helpful.

Thanks,
-Michael

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2

Hello Michael ,

There is Hadoop integration with Elasticsearch.
With this integration , it can run against each feed in elasticsearch in a
highly optimized way.
This gives you opportunity to couple mahout library with Elasticsearch.

I would advice this approach.

Thanks
Vineeth Mohan,
Elasticsearch consultant,
qbox.io ( Elasticsearch service provider http://qbox.io/)

On Thu, Mar 12, 2015 at 9:35 PM, Michael Sander michael.sander@gmail.com
wrote:

Hi All,

Has anyone tried putting advanced decision tree analysis on top of
Elasticsearch?

I've seen others users Naive Bayes
https://blog.wtf.sg/2013/12/29/naive-bayes-categorisation-with-some-help-from-elasticsearch/
on top of Elasticsearch, which is really great, but I want to try to move
past that with some of the more advanced techniques. The standard I know
that Solr has something called decision trees, but I don't think they are
the same as what is normally referred to as decision trees in the machine
learning literature (here's the wiki on decision trees
http://en.wikipedia.org/wiki/Decision_tree_learning).

Any guidance on how to implement advanced machine learning techniques on
Elasticsearch would be helpful.

Thanks,
-Michael

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